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A Heuristic Approach to the Driver and Vehicle Routing Problem

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Computational Logistics (ICCL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11184))

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Abstract

This paper presents a heuristic approach for a routing problem with two depots and involving vehicles and drivers. Vehicles must leave from one depot and arrive to the other, while drivers should leave and return to the same depot and their routes can not exceed a given duration. With these conditions, drivers must change vehicles in order to go back to their base depots. These changes can only take place at some particular nodes known as exchange locations. The heuristic approach in this paper is a two-phase method for the problem with one exchange location. In the first phase it solves a mathematical model to obtain drivers’ routes. In the second phase it builds vehicles’ routes over the given drivers’ routes. Computational results show that the proposed approach can find high quality solutions for instances with up to 50 nodes.

Supported by the research projects MTM2015-63680-R (MINECO/FEDER) and ProID2017010132 (Gobierno de Canarias).

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Authors and Affiliations

  1. DMEIO, Facultad de Ciencias, Universidad de La Laguna, Tenerife, Spain

    Bencomo Domínguez-Martín, Inmaculada Rodríguez-Martín & Juan-José Salazar-González

Authors
  1. Bencomo Domínguez-Martín
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  2. Inmaculada Rodríguez-Martín
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  3. Juan-José Salazar-González
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Corresponding author

Correspondence to Juan-José Salazar-González .

Editor information

Editors and Affiliations

  1. University of Salerno, Fisciano, Italy

    Raffaele Cerulli

  2. University of Salerno, Fisciano, Italy

    Andrea Raiconi

  3. Institute of Information Systems, University of Hamburg, Hamburg, Germany

    Stefan Voß

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Domínguez-Martín, B., Rodríguez-Martín, I., Salazar-González, JJ. (2018). A Heuristic Approach to the Driver and Vehicle Routing Problem. In: Cerulli, R., Raiconi, A., Voß, S. (eds) Computational Logistics. ICCL 2018. Lecture Notes in Computer Science(), vol 11184. Springer, Cham. https://doi.org/10.1007/978-3-030-00898-7_19

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  • DOI: https://doi.org/10.1007/978-3-030-00898-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00897-0

  • Online ISBN: 978-3-030-00898-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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